|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Electromechanical Fields Near a Circular PN Junction Between Two Piezoelectric Semiconductors显示文摘We study electromechanical fields near the interface between a circular piezoelectric semiconductor cylinder and another piezoelectric semiconductor in which it is embedded.The cylinder is p-doped. The surrounding material is n-doped. The phenomenological theory of piezoelectric semiconductors consisting of the equations of piezoelectricity and the conservation of charge for holes and electrons is used. The theory is linearized for small carrier concentration perturbations. An analytical solution is obtained, showing the formation of a PN junction near the interface. Various electromechanical fields associated with the junction are calculated. The effects of a few physical parameters are examined. | Yixun Luo Ruoran Cheng Chunli Zhang Weiqiu Chen Jiashi Yang | 2018 | Acta Mechanica Solida Sinica2018，31，2： | 5 |
| 2 | Determination of the degree of deacetylation of chitosan by potentiometric titration preceded by enzymatic pretreatment显示文摘 | Zhang Y Q Zhang X Y Ding Ruoran | 2011 | Carbohydrate Polymers2011，83，： | 1 |
| 3 | Determination of the degree of deacetylation of chitosan bypotentiometric titration preceded by enzymatic pretreatment显示文摘 | ZHANG Yongqin ZHANG Xiaoyang DING Ruoran | 2011 | Carbohydrate Polymers2011，83，2： | 1 |
| 4 | Determination of the degree of deacetylation of chitosan by potentiometric titration preceded by enzymatic pretreatment显示文摘 | Yongqin Zhang Xiaoyang Zhang Ruoran Ding Jianbin Zhang Jiwen Liu | 2010 | Carbohydrate Polymers2010，，2： | 1 |
| 5 | Properties, chemistry, and applications of the bioactive polysaccharide Curdlan 显示文摘 | Ruoran Zhang Kevin J Edgar | 2014 | Biomacromole cules2014，15，4： | 1 |
| 6 | Determination of the degree of deacetylation of chitosan by potentiometric titration preceded by enzymatic pretreatment显示文摘 | Zhang Y Q Zhang X Y Ding Ruoran | 2011 | Carbohydrate Polymers2011，83，： | 1 |
| 7 | Additive Neural Network Model in Analyzing Heart Disease Factors显示文摘Abstract Th i s paper u ses a n Add i t ive Neural Net-work model built with neural networks to analyze the key factors in determining the presence of heart disease.Identifying key factors in diagnosis could enable more accurate and efficient diagnoses,and also prioritize health interven-tions that have the greatest effect.However,with many machine learning algorithms,it is of-ten difficult to isolate the contribution of each factor.An additive neural network that back propagates with the total loss is able to calculate each variable’s function in determining heart disease possibility. | Ruoran Zhang | 2020 | 留学2020，，18： | 0 |
| 8 | Analysis of piezoelectric semiconductor fibers under gradient temperature changes显示文摘Piezoelectric semiconductors(PSs)possess both semiconducting properties and piezoelectric coupling effects,making them optimal building blocks for semiconductor devices.PS fiber-like structures have wide applications in multi-functional semiconductor devices.In this paper,a one-dimensional(1D)theoretical model is established to describe the piezotronic responses of a PS fiber under gradient temperature changes.The theoretical model aims to explain the mechanism behind the resistance change caused by such gradient temperature changes.Numerical results demonstrate that a gradient temperature change significantly affects the physical fields within the PS fiber,and can induce changes in its surface resistance.It provides important theoretical guidance on the development of piezotronic devices that are sensitive to temperature effects. | Shuangpeng LI Ruoran CHENG Nannan MA Chunli ZHANG | 2024 | Applied Mathematics and Mechanics(English Edition)2024，45，2： | 0 |
| 9 | Two-stage robust power cost minimization in a natural gas compressor station显示文摘Optimal operation of a compressor station is important since it accounts for 25%to 50%of a company’s total operating budget.In short-term management of a compressor station,handling demand uncertainty is important yet challenging.Previous studies either require precise information about the distribution of uncertain parameters or greatly simplify the compressor model.We build a two-stage robust optimization framework of power cost minimization in a natural gas compressor station with nonidentical compressors.In the first stage,decision variables are the ON/OFF state of each compressor and discharge pressure.The worst-case cost of the second stage is incorporated in the first stage.Firststage decision variables feasibility is discussed and proper feasibility cuts are also proposed for the first stage.We employ a piece-wise approximation and propose accelerate methods.Our numerical results highlight two advantages of robust approach when managing uncertainty in practical settings:(1)the feasibility of first-stage decision can be increased by up to 45%,and(2)the worst-case cost can be reduced by up to 25%compared with stochastic programming models.Furthermore,our numerical experiments show that the designed accelerate algorithm has time improvements of 1518.9%on average(3785.9%at maximum). | Yize Meng Ruoran Chen Keren Zhang Tianhu Deng | 2022 | Petroleum Science2022，19，1： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员